Triple
T11072651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Bowerman |
E261783
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Bowerman |
E261783
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Bowerman | Statement: [Bill Bowerman, familyName, Bowerman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bowerman Context triple: [Bill Bowerman, familyName, Bowerman]
-
A.
Bowerman
chosen
Bowerman is a surname most prominently associated with Bill Bowerman, the legendary American track coach and co-founder of Nike.
-
B.
Steve Prefontaine
Steve Prefontaine was a legendary American middle- and long-distance runner whose aggressive racing style and record-setting performances at the University of Oregon made him an icon of track and field in the early 1970s.
-
C.
Bannister
Bannister is a minor juror character in the play "Inherit the Wind," representing the everyday townspeople caught between religious fundamentalism and evolving scientific thought.
-
D.
Tibbett
Tibbett is a surname of English origin borne by various notable individuals in fields such as music, sports, and the arts.
-
E.
Brooks
Brooks is a common English-language surname borne by numerous notable individuals across politics, arts, sports, and other fields.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7994cd5c481909fc7de795fdafddc |
completed | April 9, 2026, 12:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3c8bfb0c88190be27f5ce09b02c8b |
completed | April 18, 2026, 6:09 p.m. |
Created at: April 8, 2026, 9:26 p.m.